Build a Deep Learning Based Image Classifier with R

4.6
estrellas

175 calificaciones

ofrecido por

6939 ya inscrito

En este proyecto guiado, tú:
1 hour
Intermedio
No se necesita descarga
Video de pantalla dividida
Inglés (English)
Solo escritorio

In this 45-min guided project, you will learn the basics of using the Keras interface to R with Tensorflow as its backend to solve an image classification problem. By the time you complete this project, you will have used the R programming language to build, train, and evaluate a neural network model to classify images of clothing items into categories such as t-shirts, trousers, and sneakers. We will be training the deep learning based image classification model on the Fashion MNIST dataset which contains 70000 grayscale images of clothes across 10 categories. In order to be successful in this project, you should be familiar with R programming, and basics of neural networks. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

  • Deep Learning

  • Artificial Neural Network

  • Machine Learning

  • Tensorflow

  • keras

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Instructor

Reseñas

Principales reseñas sobre BUILD A DEEP LEARNING BASED IMAGE CLASSIFIER WITH R

Ver todas las reseñas

Preguntas Frecuentes